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Filters: Tags: SPARROW (X) > Types: OGC WFS Layer (X)

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This data collection consists of a synthetic stream network and associated catchments developed as the foundation for a Spatially Referenced Regressions on Watershed Attributes (SPARROW) dissolved-solids source and transport model for the Upper Colorado River Basin (UCRB). The SPARROW model requires a hydrologically connected representation of a stream network through which loads are transported from an upstream reach to the next reach downstream (Schwarz and others, 2006; Moore and others, 2004). Each stream reach or segment within this synthetic stream network has an associated local drainage area or catchment used to calculate catchment characteristics that may have an effect on loads being modeled. The synthetic...
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This dataset was developed in partnership with the Tennessee Department of Environmental Conservation to determine the susceptibility of selected Tennessee reservoirs to eutrophication and potential harmful algal blooms. A R script, based on recursive partitioning and the model-based boosting routine, was used to generate regression trees that grouped Tennessee reservoirs into five endpoints along individual low-to-high gradients of Secchi depth and chlorophyll a concentrations (Green, et al, 2021; Heal and Green, 2021). Input data for these reservoirs were obtained from SPAtially Referenced Regression On Watershed (SPARROW) attributes models that estimate total phosphorus and total nitrogen loads in Tennessee water...
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The United States Geological Survey’s (USGS) SPAtially Referenced Regressions On Watershed attributes (SPARROW) model was developed to aid in the interpretation of monitoring data and simulate water-quality conditions in streams across large spatial scales. SPARROW is a hybrid empirical/process-based mass balance model that can be used to estimate the major sources and environmental factors that affect the long-term supply, transport, and fate of contaminants in streams. The spatially explicit model structure is defined by a river reach network coupled with contributing catchments. The model is calibrated by statistically relating watershed sources and transport-related properties to monitoring-based streamflow...
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For State agencies and other water-resources managers, determining which waterbodies to allocate limited funds for protection and restoration while also maximizing cost benefit is challenging. This data release contains trophic state designations determined from secchi depth, and concentrations of chlorophyll a and microcystin at 232 lakes and reservoirs having a surface area of greater than 0.1 square kilometer in watersheds that drain to the Atlantic and eastern Gulf of Mexico coasts of the United States and in watersheds within the Tennessee River Basin. Estimates of nutrient loading (nitrogen and phosphorus, Hoos and others, 2013; Moorman and others, 2014) and flushing rates were combined with waterbody morphometry...
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This data release contains model code and input data for, and predictions from, both a dynamic stream dissolved solids and a static baseflow dissolved solids SPARROW (SPAtially Referenced Regression On Watershed attributes) model of the Upper Colorado River Basin for water years 1986-2017. Input data includes information on dissolved solids sources, landscape transport characteristics, and dissolved solids load calibration data from water quality monitoring stations. Model output includes predictions for every reach of total and incremental predicted loads and total and incremental loads from each source. Further details on model development and results are described in Miller and others, 2023.
    map background search result map search result map Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014 Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 Nutrient loading, flushing rate, and lake morphometry data used to identify trophic states in selected watersheds of the eastern and southeastern United States Regression tree datasets used to identify trophic states in Tennessee reservoirs Model code, input datasets, and prediction files for dynamic stream dissolved solids and static baseflow dissolved solids SPARROW models of the Upper Colorado River Basin, 1986-2017 Regression tree datasets used to identify trophic states in Tennessee reservoirs Model code, input datasets, and prediction files for dynamic stream dissolved solids and static baseflow dissolved solids SPARROW models of the Upper Colorado River Basin, 1986-2017 Upper Colorado River Basin SPARROW model catchments and synthetic stream network - 2017 Nutrient loading, flushing rate, and lake morphometry data used to identify trophic states in selected watersheds of the eastern and southeastern United States Water-quality and streamflow datasets used for estimating long-term mean daily streamflow and annual loads to be considered for use in regional streamflow, nutrient and sediment SPARROW models, United States, 1999-2014